DocumentCode :
2497982
Title :
Wind speed predicted by wavelet analysis in input prediction control of wind turbine
Author :
Yanning, Zhang ; Longyun, Kang ; Shiqiong, Zhou ; Binggang, Cao
Author_Institution :
Inst. of Mech. Eng., Xian Jiao Tong Univ., Xian
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
7732
Lastpage :
7735
Abstract :
The third order of the high frequency parts of the whole wind speed are changed greatly, it is the input of wind turbine. The input determines the control value, so the control value is changed greatly in short time. The controller has the determine time to work. Hence, the input prediction control is introduced. Simply the wind speed is composed by basic signal and instantaneous signal, of which the basic signal contains the main available power of whole wind speed. To get good control and avoid high frequency work of controller, the low frequency parts of the wind speed are picked up through the decomposition of the wind speed by wavelet multi resolution analysis. By analyzing the predict result of smoothed data by time series and the decomposed result of predicted original wind speed by wavelet, the error between the two signals is small, so the approach wind speed decomposed by wavelet analysis can be applied to the input of the wind turbine predict control system.
Keywords :
power generation control; wavelet transforms; wind power; wind turbines; input prediction control; instantaneous signal; time series analysis; wavelet analysis; wavelet multiresolution analysis; wind speed; wind turbine; Control systems; Frequency; Power generation; Signal analysis; Time series analysis; Wavelet analysis; Wind energy; Wind energy generation; Wind speed; Wind turbines; input prediction control; wavelet analysis; wind speed prediction; wind turbine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4594132
Filename :
4594132
Link To Document :
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